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Title: Comparison between Probabilistic Optimal Power Flow and Probabilistic Power Flow with Carbon Emission Consideration
Authors: Zhang, H
Lai, CS
Xu, F
Lai, LL
Keywords: Probabilistic power flow;optimal power flow;power losses optimization;carbon emission
Issue Date: 2016
Publisher: IEEE
Citation: Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, 2016, pp. 647 - 652
Abstract: With more uncertainty and variability existing in smart grid, deterministic load flow, which is used to analyze the operation conditions on a daily routine and planning the power systems for future investment, could not solve the problems with consideration of renewable generation intermittence and load variation. Nowadays, with more attentions are paid to the environment, carbon emission problem is one of the main concerns in smart grid strategies and planning. It is a great opportunity and challenge for planners to take good care of all stakeholders' interests. Multi-objectives need to be considered when making a critical decision. This paper presents result comparisons between probabilistic optimal load flow and probabilistic load flow by considering both carbon emission and minimization of power loss of the entire grid. The framework is applied to the modified IEEE 14-bus system, which is modeled in Power Factory Dig SILENT, with intermittent wind energy source and load variation consideration.
ISBN: 9781479986965
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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